Challenge on prediction of Influenza virus and SARS‐CoV‐2 virus co‐circulation

Author:

Liang Jingyi1,Zeng Zhiqi234,Li Qianying23,Guan Wenda234ORCID,Yang Zifeng234,Hon Chitin1

Affiliation:

1. Department of Engineering Science Faculty of Innovation Engineering Macau University of Science and Technology Macau China

2. National Center for Respiratory Medicine State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease Guangzhou Institute of Respiratory Health The First Affiliated Hospital of Guangzhou Medical University Guangzhou Guangdong China

3. Guangzhou Laboratory Bio‐Island Guangzhou China

4. Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases KingMed School of Laboratory Medicine, Guangzhou Medical University Guangzhou China

Abstract

AbstractThe COVID‐19 pandemic comes across the gradual rise of the influenza virus, and the co‐circulation of the two viruses is inevitable. The dangers of co‐infection are becoming clearer, but the disease burden of co‐circulation in the near further is unknown. In the intersection era of big data and machine learning development, it is important to distinguish the impact factors of co‐prevalence and apply appropriate methods to advance projecting future risks.

Publisher

Wiley

Reference16 articles.

1. Lessons learned 1 year after SARS-CoV-2 emergence leading to COVID-19 pandemic

2. The recently emerged BA.4 and BA.5 lineages of Omicron and their global health concerns amid the ongoing wave of COVID-19 pandemic – Correspondence

3. COVID‐19 weekly epidemiological update https://www.who.int/emergencies/diseases/novel‐coronavirus‐2019/situation‐reports(accessed: November 2022).

4. The effectiveness of governmental nonpharmaceutical interventions against COVID-19 at controlling seasonal influenza transmission: an ecological study

5. Weekly Report of Influenza Virus https://ivdc.chinacdc.cn/cnic/(accessed: November 2022).

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